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Daily Perf Improver - Add SVD benchmarks to benchmark suite #79

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Oct 22, 2025
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Daily Perf Improver - Add SVD benchmarks to benchmark suite #79

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18 changes: 17 additions & 1 deletion benchmarks/FsMath.Benchmarks/LinearAlgebra.fs
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Expand Up @@ -5,7 +5,7 @@ open FsMath
open FsMath.Algebra

/// <summary>
/// Benchmarks for linear algebra operations (QR, LU, Cholesky, EVD).
/// Benchmarks for linear algebra operations (QR, LU, Cholesky, EVD, SVD).
/// These operations are fundamental to scientific computing and their performance
/// is critical for applications in statistics, machine learning, and numerical analysis.
/// </summary>
Expand Down Expand Up @@ -169,3 +169,19 @@ type LinearAlgebraBenchmarks() =
[<Benchmark>]
member _.LeastSquares_50x50() =
LinearAlgebra.leastSquares largeMatrix largeVector

// ============================================
// SVD (Singular Value Decomposition) Benchmarks
// ============================================

[<Benchmark>]
member _.SVD_10x10() =
SVD.compute (smallMatrix.toArray2D())

[<Benchmark>]
member _.SVD_30x30() =
SVD.compute (mediumMatrix.toArray2D())

[<Benchmark>]
member _.SVD_50x50() =
SVD.compute (largeMatrix.toArray2D())
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